Universe

bus Computer Vision Dataset

byHACKTIVATORSTask:
Object Detection
License:CC BY 4.0
See all 1.4k imagesbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing busbus bus-line-number-and-num-of--4yVm sample showing bus

About bus Dataset

This dataset is part of our thesis!

Sometimes waiting for the bus and encountering a bus that doesn't reach our destination, known as an "extra bus", is boring, right? This project is a dataset that will help solve this problem, to a lesser extent.

What does this dataset contain?

This dataset contains photos of buses in Bangkok to be used in building machine learning and using them in the bus destination detection system. which is part of our thesis

more information about for our thesis : https://github.com/llsrwsaint225/Bangkok-Bus-Dataset-YOLOV8

Use Free Bus Detection API

Powered by general detection model

Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "bus"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ bus-uxr7w_dataset,
  title = { bus Dataset },
  type = { Open Source Dataset },
  author = { HACKTIVATORS },
  howpublished = { \url{ https://universe.roboflow.com/hacktivators/bus-uxr7w } },
  url = { https://universe.roboflow.com/hacktivators/bus-uxr7w },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2025 },
  month = { nov },
  note = { visited on 2026-07-29 },
}

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